Generative AI and Ethical Integration in K-12 and Higher Education

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Authors: Shazia Shaikh, Mohd Abdul Maroof, Priyanka Kaskar, Pradeep Bhanudas Girhe, Anshuman Vijay Magar, W. Sudhahar
Cited by: 1
References: 56

Abstract

The availability of Generative Artificial Intelligence (GenAI) tools has expanded their use and application—even in industries such as higher education. Generative AI has opened up an entirely new world of access to educational materials and personalization of learning. While generative AI tools have obvious benefits, they also raise several concerns for students in a higher education setup that go on from ethical concerns associated with academic integrity, data privacy, discrimination, and bias to over-reliance on the solutions proposed. This research article asserts that through the use of such a technology by the learner/researcher of tertiary education institutions, many vital issues must be addressed, as emphasized by the authors. It explores how we can educate our current generation, including responsible use of generative AI, implications for institutions, statutory research, and ethics. The proposal outlines standard methods for integrating student-facing AI with personalized learning principles and policy at the higher education level.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Online Learning and Analytics Intelligent Tutoring Systems and Adaptive Learning

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
89–118
Publication date
27 February 2026
Document type
Book chapter